Twitter analytic tools are good to go. Finally you can monitor the performance of your organic activity straight from the horses mouth. By simply accessing your Twitter advertising account you can now see the organic data you need.
In my last post I mentioned various Social Media tools I use, all of them get the job done but the one thing I was missing was proper analysis of my clients Twitter activity. I was reliant on Sysomos by copying and pasting each tweet in, or manually going through dates and looking at retweets. Yes I could finally work out the reach or clicks and other metrics. But now its all in one spot.
So what can you get in the new Twitter Analytics?
- Finally, Real-time data about how your tweets are doing – great insights to see if each post is working as hard as you want it to and where you could change your strategy
- Compare impressions (for example how many times a tweet is viewed on Twitter.com and Apps – Android and iOS, including logged-out users), total engagements, and retweets
- All important numbers each tweet gets :
- Link clicks,
- Embedded media clicks
- Email shares
- Detail expands
- User profile clicks,
- Exporting! Export all this data to CSV – including promoted and organic.
Can’t be showing you those millions of impressions numbers now can I? 😉
How are Twitter Analytics going to help?
Exactly that, now finally you can tell that client those “Happy Friday” tweets just don’t work. Or those geniuses that come up with the 5 tweets a day strategies.
You could also :
- See when is the best time to tweet – are you getting more engagment on Friday night then in the morning? Do Tuesday afternoons work for you?
- Start controlling your frequency. Does tweeting x amount of times alienate your audience or do they need more.
- Test tone of voice
- Are your customer service tweets gaining reaction with not only the customer you are dealing with
- Calls to action? Are you you ‘in-the-face’ sales pitching or do you need to tone it down a bit?
- Media. Do you need an image with every post? Or does just text work?
These are just some of the learnings you can take from this data and start improving upon the work you are doing. What do you think? Going to use em?